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Coevolution of active vision and feature selection

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Multi-pose lipreading and audio-visual speech recognition

Jean-Philippe Thiran, Virginia Estellers Casas

In this article, we study the adaptation of visual and audio-visual speech recognition systems to non-ideal visual conditions. We focus on overcoming the effects of a changing pose of the speaker, a problem encountered in natural situations where the speak ...

2012

Learning Image Descriptors with the Boosting-Trick

Pascal Fua, Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

In this paper we apply boosting to learn complex non-linear local visual feature representations, drawing inspiration from its successful application to visual object detection. The main goal of local feature descriptors is to distinctively repre- sent a s ...

2012

Statistical Shape Descriptors for Ancient Maya Hieroglyphs Analysis

Edgar Roman Rangel

The preservation, analysis, and management of valuable and fragile historical and cultural materials with digital technologies is a field of multidisciplinary nature, and significant to the society at large. The benefits of using visual and multimedia anal ...

École Polytechnique Fédérale de Lausanne2012

A Constrained Latent Variable Model

Pascal Fua, Mathieu Salzmann, Raquel Urtasun, Aydin Varol

Latent variable models provide valuable compact representations for learning and inference in many computer vision tasks. However, most existing models cannot directly encode prior knowledge about the specific problem at hand. In this paper, we introduce a ...

Ieee2012

Visual spatiotemporal processing in the elderly

Michael Herzog

We used backward masking paradigm to investigate the effects of aging on visual spatiotemporal processing. First, thirty-three older (M=65.3 years) and ten younger adults (M=24.3 years) had to indicate the offset direction of a vernier that was masked by a ...

Pion Ltd.2012

Model-based Behavioural Tracking and Scale Invariant Features in Omnidirectional Matching

Javier Cruz Mota

Two classical but crucial and unsolved problems in Computer Vision are treated in this thesis: tracking and matching. The first part of the thesis deals with tracking, studying two of its main difficulties: object representation model drift and total occlu ...

EPFL2011

Testing dynamical models of vision

Michael Herzog, Gregory Francis, Johannes Rüter

Most models of vision focus either on the spatial or temporal aspects of visual processing and neglect the other component. A variety of studies have shown, however, that spatial and temporal processing cannot easily be separated. The shine-through effect ...

Elsevier2011

Aerial SLAM with a Single Camera using Visual Expectation

Felix Stephan Schill

Micro aerial vehicles (MAVs) are a rapidly growing area of research and development in robotics. For autonomous robot operations, localization has typically been calculated using GPS, external camera arrays, or onboard range or vision sensing. In cluttered ...

2011

Nonretinotopic Exogenous Attention

Michael Herzog, Marco Boi, Marcus Leonardus Vergeer

Attention is crucial for visual perception because it allows the visual system to effectively use its limited resources by selecting behaviorally and cognitively relevant stimuli from the large amount of information impinging on the eyes. Reflexive, stimul ...

Elsevier2011

Comparing machines and humans on a visual categorization test

François Fleuret, Charles Dubout, Ting Li

Automated scene interpretation has benefited from advances in machine learning, and restricted tasks, such as face detection, have been solved with sufficient accuracy for restricted settings. However, the performance of machines in providing rich semantic ...

2011